IS WORK OVER?

Automation index

How much of a Mosaicist’s job can AI already do?

A cartoon comes earlier. Setting tesserae so the image reads do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Mosaicist

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Cartoon, cut and the colour.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Set, joint and the one that goes off level.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Grout, clean and the sheen.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Floor, wall and the traffic.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The client, the drawing and not changing halfway.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
That it reads, and not leaving a trip.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%19%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • tesserae
  • cartoon
  • grout
  • set mosaic
  • trip
  • walls
  • floors
  • cut the piece

Sources for this job· O*NET 47-2044.00· ESCO/ISCO 7112

Data architect

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Models, lineage and the catalogue.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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